Topic Editors

AMRC Castings, University of Sheffield, Advanced Manufacturing Park, Brunel Way, Rotherham S60 5WG, UK
Welding and Additive Manufacturing Centre, Faculty of Engineering and Applied Sciences, Cranfield University, Cranfield MK43 0AL, UK
Welding and Additive Manufacturing Centre, Faculty of Engineering and Applied Sciences, Cranfield University, Cranfield MK43 0AL, UK

Numerical Modelling on Metallic Materials, 2nd Edition

Abstract submission deadline
30 June 2026
Manuscript submission deadline
31 August 2026
Viewed by
887

Topic Information

Dear Colleagues,

Following the success of the first volume of the Topic on Numerical Modelling on Metallic Materials, we are pleased to announce the launch of the second volume. Numerical modelling has been applied across a wide range of areas, from microstructural evolution to macroscopic mechanical behaviour, and to understanding the response of metallic materials under diverse processing and service conditions.

In this new volume, we will continue to welcome contributions using physics-based modelling, while placing particular emphasis on encouraging data-driven modelling studies. This Topic aims to provide a collective platform to showcase the current state of the art in numerical modelling on metallic materials, fostering interdisciplinary interaction and cross-fertilisation that will drive the future development and application of modelling techniques in materials science and engineering.

We cordially invite scientists, researchers, and engineers to contribute to this follow-up Topic, with subjects including, but not limited to:

  • Ab initio calculations of alloy design and property prediction;
  • Multiscale and multiphysics modelling;
  • AI and machine learning;
  • Data mining and its application in metallic materials design and manufacturing;
  • Surrogate and reduced-order modelling;
  • Materials constitutive modelling;
  • Modelling and simulation of materials’ manufacturing processes;
  • Solidification, deformation, and phase transformation;
  • Prediction of microstructure and properties;
  • Plasticity and strain damage;
  • Fatigue and fracture of metallic materials;
  • Prediction and mitigation of residual stress and distortion;
  • Numerical methods, software technology, verification/validation, and standardisation.

Dr. Shuwen Wen
Dr. Yongle Sun
Dr. Xin Chen
Topic Editors

Keywords

  • numerical modelling
  • metallic materials
  • microstructure and properties
  • ab initio calculation
  • molecular dynamics (MD)
  • finite element method (FEM)
  • computational fluid dynamics (CFD)
  • data analysis
  • modelling and simulation
  • verification and validation
  • engineering
  • manufacturing processes
  • fatigue and fracture
  • service performance

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Materials
materials
3.2 6.4 2008 15.5 Days CHF 2600 Submit
Metals
metals
2.5 5.3 2011 18.7 Days CHF 2600 Submit
Applied Sciences
applsci
2.5 5.5 2011 16 Days CHF 2400 Submit
Journal of Manufacturing and Materials Processing
jmmp
3.3 5.2 2017 15.9 Days CHF 1800 Submit
Alloys
alloys
- 3.2 2022 19.1 Days CHF 1000 Submit

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Published Papers (2 papers)

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15 pages, 3013 KB  
Article
Numerical Simulation and Process Optimization of Sn-0.3Ag-0.7Cu Alloy Casting
by Hao Zhou, Yingwu Wang, Jianghua He, Chengchen Jin, Ayiqujin, Desheng Lei, Hui Fang and Kai Xiong
Materials 2026, 19(1), 198; https://doi.org/10.3390/ma19010198 - 5 Jan 2026
Viewed by 257
Abstract
Porosity formation due to solidification shrinkage and inadequate liquid metal feeding during the casting of Sn-0.3Ag-0.7Cu (SAC0307) is a critical issue that impairs quality and subsequent processing. However, the opacity of the casting process often obscures the quantitative relationships between process parameters and [...] Read more.
Porosity formation due to solidification shrinkage and inadequate liquid metal feeding during the casting of Sn-0.3Ag-0.7Cu (SAC0307) is a critical issue that impairs quality and subsequent processing. However, the opacity of the casting process often obscures the quantitative relationships between process parameters and defect formation, creating a significant barrier to science-based optimization. To address this, the present study utilizes finite element method (FEM) analysis to systematically investigate the influence of pouring temperature (PCT, 290–390 °C) and interfacial heat transfer coefficient (HTC, 900–5000 W/(m2·K)) on this phenomenon. The results reveal that PCT exerts a non-monotonic effect on porosity by modulating the solidification mode, which governs the accumulation of dispersed microporosity. In contrast, HTC plays a critical role in determining porosity morphology by controlling both the solidification rate and mode. Consequently, an optimal processing window was identified at 350 °C PCT and 3000 W/(m2·K) HTC, which significantly enhances interdendritic feeding and improves the ingot’s internal soundness. The efficacy of these optimized parameters was experimentally validated through macro- and microstructural characterization. This work not only elucidates the governing mechanisms of solidification quality but also demonstrates the value of numerical simulation for process optimization, offering a reliable scientific basis for the industrial production of high-quality SAC0307 alloys. Full article
(This article belongs to the Topic Numerical Modelling on Metallic Materials, 2nd Edition)
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17 pages, 3730 KB  
Article
Analyses of Stress-State-Dependent Ductile Damage and Fracture Behavior of Zirconium
by Boyu Pan, Lianghui Zhu, Zhichao Wei, Berk Tekkaya, Sophie Stebner and Sebastian Münstermann
Materials 2026, 19(1), 81; https://doi.org/10.3390/ma19010081 - 25 Dec 2025
Viewed by 348
Abstract
In this study, the fracture behavior of zirconium was investigated by a hybrid experimental and numerical simulation method. Uniaxial tensile tests were conducted on samples of various geometries, thereby covering a wide range of stress states at fracture characterized by stress triaxiality between [...] Read more.
In this study, the fracture behavior of zirconium was investigated by a hybrid experimental and numerical simulation method. Uniaxial tensile tests were conducted on samples of various geometries, thereby covering a wide range of stress states at fracture characterized by stress triaxiality between 0.05 and 0.96 and Lode angle parameter between 0.01 and 0.95. Stress state-related parameters of each geometry were collected and used to calibrate the parameters of the modified Bai-Wierzbicki (MBW) model. With the calibrated MBW model, the fracture of zirconium can be predicted. Additionally, the fracture surfaces of the pure shear and pure tension samples were analyzed using a scanning electron microscope (SEM), revealing that shear mode dominates the failure at a low stress triaxiality range from 0 to 1/3, while ductile fracture dominates the failure at a middle stress triaxiality range from 1/3 to 1. The deep understanding of the fracture behaviors and mechanisms of zirconium under various stress states in this study contributes to the safety assessment of cladding tubes used in nuclear power plants. Full article
(This article belongs to the Topic Numerical Modelling on Metallic Materials, 2nd Edition)
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